Denoising of JPEG images using fuzzy wavelets
Peter D. Dolan, Sos С. Agaian, Joseph P. Noonan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
This paper describes a new technique for removing blocking artifacts in heavily compressed JPEG images. This technique employs fuzzy wavelets, a form of nonlinear subband decomposition, to produce an estimate of the input JPEG image at a finer spatial resolution. The interpolated image is then subsampled to obtain an output image at the original image spatial resolution with smoothed boundaries between adjacent 8 x 8 pixel JPEG blocks.